FindAUC: Compute the area under the ROC curve (AUC)
In leapp: Latent Effect Adjustment After Primary Projection
FindAUC R Documentation
Compute the area under the ROC curve (AUC)
Description
Given a vector of p values for m genes and a set of null genes, compute the area under ROC curve using the Wilcoxin statistics
Usage
FindAUC(pvalue, ind)
Arguments
pvalue
A vector of p values, one for each gene, with length m
ind
A vector of indices that the corresponding gene are true positive
Value
auc
A numeric, area under the ROC curve for the given gene list
Author(s)
Yunting Sun yunting.sun@gmail.com, Nancy R.Zhang nzhang@stanford.edu, Art B.Owen owen@stanford.edu
leapp documentation built on June 20, 2022, 1:05 a.m.
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| FindAUC | R Documentation |
Compute the area under the ROC curve (AUC)
Description
Given a vector of p values for m genes and a set of null genes, compute the area under ROC curve using the Wilcoxin statistics
Usage
FindAUC(pvalue, ind)
Arguments
pvalue |
A vector of p values, one for each gene, with length m |
ind |
A vector of indices that the corresponding gene are true positive |
Value
auc |
A numeric, area under the ROC curve for the given gene list |
Author(s)
Yunting Sun yunting.sun@gmail.com, Nancy R.Zhang nzhang@stanford.edu, Art B.Owen owen@stanford.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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